Package: globalSeq
Version: 1.39.0
Title: Global Test for Counts
Description: The method may be conceptualised as a test of overall significance
    in regression analysis, where the response variable is overdispersed and the
    number of explanatory variables exceeds the sample size. Useful for testing for
    association between RNA-Seq and high-dimensional data.
biocViews: GeneExpression, ExonArray, DifferentialExpression, GenomeWideAssociation,
    Transcriptomics, DimensionReduction, Regression, Sequencing,
    WholeGenome, RNASeq, ExomeSeq, miRNA, MultipleComparison
Depends: R (>= 3.0.0)
Suggests:
    knitr,
    testthat,
    SummarizedExperiment,
    S4Vectors
Authors@R: person("Armin","Rauschenberger",email="armin.rauschenberger@uni.lu",role=c("aut","cre"))
VignetteBuilder: knitr
License: GPL-3
LazyData: true
RoxygenNote: 7.0.2
URL: https://github.com/rauschenberger/globalSeq
BugReports: https://github.com/rauschenberger/globalSeq/issues
git_url: https://git.bioconductor.org/packages/globalSeq
git_branch: devel
git_last_commit: 50c9aeb
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.23
